RSNA 2024: Page 10

Lung-RADS review identifies radiologist 'blind spots'
By Kate Madden Yee
A review of the Lung-RADS v2022 metric has revealed radiologist "blind spots" when it comes to catching lung cancer on screening CT, according to findings to be presented Monday afternoon.
November 19, 2024
CAC results on CT imaging could reduce cardiovascular disease mortality
By Kate Madden Yee
CT lung cancer screening coronary artery calcification (CAC) results could decrease morbidity and mortality from cardiovascular events, University of Rochester Medical Center researchers have found.
November 19, 2024
CT body composition AI tool predicts MACE
By Liz Carey
Harvard researchers applied an AI-based body composition algorithm to 1,277 emergency abdominal CT exams from people in their 30s to predict major adverse cardiovascular events (MACE).
November 19, 2024
Large study finds benefit for AI in acute pulmonary embolism
By Erik L. Ridley
AI can assist radiologists in detecting acute cases of pulmonary embolism, according to the results of a large, prospective study.
November 19, 2024
Multidisciplinary review of LCS CT scans reduces interval imaging
By Kate Madden Yee
Multidisciplinary review of lung cancer screening (LCS) CT scans that indicate high risk of disease decreases unnecessary interval imaging and supports more rapid lung cancer diagnosis, according to research to be presented Wednesday afternoon.
November 19, 2024
CT-measured epicardial fat volume predicts presence of coronary artery disease
By Kate Madden Yee
Measuring epicardial fat volume on CT imaging helps predict the presence of obstructive coronary artery disease and the occurrence of major adverse cardiovascular events, according to research to be presented Wednesday afternoon.
November 19, 2024
Additional Coverage
2023
2022
2021
2020
2019
Chest CT quantitative metrics plus AI predict low bone mineral density
By Kate Madden Yee
In this Thursday morning session, researchers will describe how quantitative metrics extracted from chest CT scans using AI can be integrated with machine learning algorithms to predict low bone mineral density.
November 19, 2024
Body composition analysis foretells survival in esophageal cancer patients
By Erik L. Ridley
Automated 3D body composition CT analysis software can predict shorter survival in patients with esophageal cancer.
November 19, 2024
Road to RSNA 2024: Digital X-Ray Preview
By Will Morton
This year’s Road to RSNA for digital x-ray features a few familiar mileposts – AI for chest x-ray studies, for instance – but notably also significant research into how technology and new techniques can reduce radiation exposure in patients.
November 18, 2024
Road To Rsna
DAEC system reduces portable x-ray radiation doses
By Will Morton
In this session on physics in radiography, a study suggests portable x-ray systems outfitted with digital autoexposure control (DAEC) systems enhance image quality and reduce radiation doses.
November 18, 2024
Is adjacent x-ray imaging in the ER justified?
By Will Morton
A study in this session suggests that adjacent x-ray imaging had low diagnostic efficacy for both upper and lower limb regions. The finding underscores the importance of adopting a value-based approach to radiology, according to the researchers.
November 18, 2024
Are carbon nanotubes the future for digital x-ray systems?
By Will Morton
Carbon nanotube sources for digital x-ray systems have clinical and environmental advantages over standard filament tubes in fluoroscopic imaging, according to a study presented in the session.
November 18, 2024
Previous Page
Page 10 of 15
Next Page